We are seeking a skilled and motivated Senior Java Developer to join our team.
You will be part of a highly agile environment, working with TDD, Pair Programming, and the XP process to deliver robust backend solutions.
Responsibilities
- Design, develop, and maintain backend services using Java (8/11/17) with a focus on performance, scalability, and reliability
- Build and enhance microservices based on Spring Boot, utilizing Spring Integration, Spring Cloud, and Spring Data
- Implement and optimize concurrent and multithreaded processing using Java core concurrency features
- Develop and manage data access layers and complex queries with PostgreSQL, ensuring data integrity and high performance
- Contribute to data pipelines, supporting data ingestion, transformation, and integration with downstream systems
- Work with Google Cloud Platform services, including Google Cloud Storage (GCS) and BigQuery (BQ), for cloud-native data processing and storage
- Configure and maintain CI/CD pipelines using Jenkins for reliable builds, automated testing, and deployments
- Collaborate with cross-functional teams such as product, data, and DevOps to deliver solutions that meet business needs
- Participate in code reviews, technical discussions, and initiatives for continuous improvement
Requirements
- Minimum 3 years of experience in backend development with Java
- Strong hands-on expertise with Java 8/11/17, including Java Core and concurrency (threads, executors, synchronization)
- Solid experience with Spring Boot and related frameworks such as Spring Integration, Spring Cloud, and Spring Data
- Proficient in SQL with practical experience in PostgreSQL, including schema design, query optimization, and transaction management
- Experience working with Google Cloud Platform, especially Google Cloud Storage and BigQuery
- Skilled in configuring and maintaining CI/CD pipelines using Jenkins
- Good understanding of RESTful APIs and microservices architecture
- Ability to thrive in an Agile environment and communicate effectively with both technical and non-technical team members
- Excellent English communication skills at B2 level or higher
Nice to have
- Basic understanding of data pipeline concepts, including ETL/ELT, data flow, and the differences between batch and streaming processing